Overview

Brought to you by YData

Dataset statistics

Number of variables	24
Number of observations	200000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	280.1 MiB
Average record size in memory	1.4 KiB

Variable types

Text	10
Categorical	9
Numeric	3
DateTime	2

Alerts

`Transaction_Currency` has constant value "INR"	Constant
`Is_Fraud` is highly imbalanced (71.2%)	Imbalance
`Customer_ID` has unique values	Unique
`Transaction_ID` has unique values	Unique
`Merchant_ID` has unique values	Unique

Reproduction

Analysis started	2025-06-20 08:23:16.020015
Analysis finished	2025-06-20 08:24:00.231238
Duration	44.21 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

Customer_ID
Text

Unique

Distinct	200000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	17.7 MiB

Length

Max length	36
Median length	36
Mean length	36
Min length	36

Characters and Unicode

Total characters	7200000
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	200000 ?
Unique (%)	100.0%

Sample

1st row	d5f6ec07-d69e-4f47-b9b4-7c58ff17c19e
2nd row	7c14ad51-781a-4db9-b7bd-67439c175262
3rd row	3a73a0e5-d4da-45aa-85f3-528413900a35
4th row	7902f4ef-9050-4a79-857d-9c2ea3181940
5th row	3a4bba70-d9a9-4c5f-8b92-1735fd8c19e9

Value	Count	Frequency (%)
34cc1700-173a-4dde-91ae-36f0b19d71f9	1	< 0.1%
04566d0f-4286-46b7-b53f-0b08dfe1f448	1	< 0.1%
059f0d04-6bff-4d87-a66a-83e3ffe95900	1	< 0.1%
9f6f4187-dd27-4867-870f-0a8c84417c2b	1	< 0.1%
bf85ffaf-5952-45db-8969-3742f73a11b6	1	< 0.1%
a7491211-fc2f-4225-9b5a-6c6b9478e4fe	1	< 0.1%
602e081e-789f-4438-b392-f883763f2878	1	< 0.1%
f1116e1e-7e9e-4d79-8680-443362cddf02	1	< 0.1%
e4f07df0-07e4-4f1a-a6be-0e8cd8fdbf03	1	< 0.1%
970f2cee-92cb-4416-9cfe-1544cf0a56b4	1	< 0.1%
Other values (199990)	199990	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
-	800000	11.1%
4	574973	8.0%
a	425432	5.9%
9	424370	5.9%
b	424292	5.9%
8	423831	5.9%
e	376040	5.2%
7	375884	5.2%
5	375571	5.2%
f	375331	5.2%
Other values (7)	2624276	36.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7200000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	800000	11.1%
4	574973	8.0%
a	425432	5.9%
9	424370	5.9%
b	424292	5.9%
8	423831	5.9%
e	376040	5.2%
7	375884	5.2%
5	375571	5.2%
f	375331	5.2%
Other values (7)	2624276	36.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7200000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	800000	11.1%
4	574973	8.0%
a	425432	5.9%
9	424370	5.9%
b	424292	5.9%
8	423831	5.9%
e	376040	5.2%
7	375884	5.2%
5	375571	5.2%
f	375331	5.2%
Other values (7)	2624276	36.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7200000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	800000	11.1%
4	574973	8.0%
a	425432	5.9%
9	424370	5.9%
b	424292	5.9%
8	423831	5.9%
e	376040	5.2%
7	375884	5.2%
5	375571	5.2%
f	375331	5.2%
Other values (7)	2624276	36.4%

Customer_Name
Text

Distinct	142699
Distinct (%)	71.3%
Missing	0
Missing (%)	0.0%
Memory size	13.3 MiB

Length

Max length	26
Median length	24
Mean length	12.53347
Min length	5

Characters and Unicode

Total characters	2506694
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	98022 ?
Unique (%)	49.0%

Sample

1st row	Osha Tella
2nd row	Hredhaan Khosla
3rd row	Ekani Nazareth
4th row	Yamini Ramachandran
5th row	Kritika Rege

Value	Count	Frequency (%)
kala	1408	0.4%
krishna	1101	0.3%
sai	768	0.2%
bora	765	0.2%
gopal	760	0.2%
palla	756	0.2%
krish	753	0.2%
wali	752	0.2%
madan	746	0.2%
om	738	0.2%
Other values (1050)	391453	97.9%

Most occurring characters

Value	Count	Frequency (%)
a	502429	20.0%
	200000	8.0%
i	176547	7.0%
h	157460	6.3%
r	150363	6.0%
n	147918	5.9%
e	93447	3.7%
t	81898	3.3%
l	73798	2.9%
s	72871	2.9%
Other values (44)	849963	33.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2506694	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	502429	20.0%
	200000	8.0%
i	176547	7.0%
h	157460	6.3%
r	150363	6.0%
n	147918	5.9%
e	93447	3.7%
t	81898	3.3%
l	73798	2.9%
s	72871	2.9%
Other values (44)	849963	33.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2506694	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	502429	20.0%
	200000	8.0%
i	176547	7.0%
h	157460	6.3%
r	150363	6.0%
n	147918	5.9%
e	93447	3.7%
t	81898	3.3%
l	73798	2.9%
s	72871	2.9%
Other values (44)	849963	33.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2506694	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	502429	20.0%
	200000	8.0%
i	176547	7.0%
h	157460	6.3%
r	150363	6.0%
n	147918	5.9%
e	93447	3.7%
t	81898	3.3%
l	73798	2.9%
s	72871	2.9%
Other values (44)	849963	33.9%

Gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.8 MiB

Male	100452
Female	99548

Length

Max length	6
Median length	4
Mean length	4.99548
Min length	4

Characters and Unicode

Total characters	999096
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Female
3rd row	Male
4th row	Female
5th row	Female

Common Values

Value	Count	Frequency (%)
Male	100452	50.2%
Female	99548	49.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	100452	50.2%
female	99548	49.8%

Most occurring characters

Value	Count	Frequency (%)
e	299548	30.0%
a	200000	20.0%
l	200000	20.0%
M	100452	10.1%
F	99548	10.0%
m	99548	10.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	999096	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	299548	30.0%
a	200000	20.0%
l	200000	20.0%
M	100452	10.1%
F	99548	10.0%
m	99548	10.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	999096	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	299548	30.0%
a	200000	20.0%
l	200000	20.0%
M	100452	10.1%
F	99548	10.0%
m	99548	10.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	999096	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	299548	30.0%
a	200000	20.0%
l	200000	20.0%
M	100452	10.1%
F	99548	10.0%
m	99548	10.0%

Age
Real number (ℝ)

Distinct	53
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.01511

Minimum	18
Maximum	70
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	18
5-th percentile	20
Q1	31
median	44
Q3	57
95-th percentile	68
Maximum	70
Range	52
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	15.288774
Coefficient of variation (CV)	0.34735286
Kurtosis	-1.2002993
Mean	44.01511
Median Absolute Deviation (MAD)	13
Skewness	0.0026443514
Sum	8803022
Variance	233.74662
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
61	3929	2.0%
42	3871	1.9%
70	3864	1.9%
39	3858	1.9%
32	3857	1.9%
56	3841	1.9%
69	3840	1.9%
23	3832	1.9%
37	3829	1.9%
30	3823	1.9%
Other values (43)	161456	80.7%

Value	Count	Frequency (%)
18	3712	1.9%
19	3796	1.9%
20	3644	1.8%
21	3691	1.8%
22	3722	1.9%
23	3832	1.9%
24	3820	1.9%
25	3804	1.9%
26	3814	1.9%
27	3673	1.8%

Value	Count	Frequency (%)
70	3864	1.9%
69	3840	1.9%
68	3775	1.9%
67	3700	1.8%
66	3738	1.9%
65	3761	1.9%
64	3676	1.8%
63	3766	1.9%
62	3804	1.9%
61	3929	2.0%

State
Categorical

Distinct	34
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.9 MiB

Nagaland	6031
Meghalaya	6003
Uttar Pradesh	6002
Uttarakhand	5985
Lakshadweep	5954
Other values (29)	170025

Length

Max length	40
Median length	16
Mean length	10.491565
Min length	3

Characters and Unicode

Total characters	2098313
Distinct characters	43
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Kerala
2nd row	Maharashtra
3rd row	Bihar
4th row	Tamil Nadu
5th row	Punjab

Common Values

Value	Count	Frequency (%)
Nagaland	6031	3.0%
Meghalaya	6003	3.0%
Uttar Pradesh	6002	3.0%
Uttarakhand	5985	3.0%
Lakshadweep	5954	3.0%
Telangana	5952	3.0%
Haryana	5947	3.0%
Delhi	5943	3.0%
Kerala	5933	3.0%
Madhya Pradesh	5928	3.0%
Other values (24)	140322	70.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pradesh	29497	9.8%
and	23403	7.8%
nagaland	6031	2.0%
meghalaya	6003	2.0%
uttar	6002	2.0%
uttarakhand	5985	2.0%
lakshadweep	5954	2.0%
telangana	5952	2.0%
haryana	5947	2.0%
delhi	5943	2.0%
Other values (34)	198967	66.4%

Most occurring characters

Value	Count	Frequency (%)
a	452941	21.6%
r	164371	7.8%
h	152668	7.3%
d	129355	6.2%
n	129212	6.2%
	99684	4.8%
e	88623	4.2%
s	87894	4.2%
i	87792	4.2%
l	65037	3.1%
Other values (33)	640736	30.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2098313	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	452941	21.6%
r	164371	7.8%
h	152668	7.3%
d	129355	6.2%
n	129212	6.2%
	99684	4.8%
e	88623	4.2%
s	87894	4.2%
i	87792	4.2%
l	65037	3.1%
Other values (33)	640736	30.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2098313	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	452941	21.6%
r	164371	7.8%
h	152668	7.3%
d	129355	6.2%
n	129212	6.2%
	99684	4.8%
e	88623	4.2%
s	87894	4.2%
i	87792	4.2%
l	65037	3.1%
Other values (33)	640736	30.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2098313	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	452941	21.6%
r	164371	7.8%
h	152668	7.3%
d	129355	6.2%
n	129212	6.2%
	99684	4.8%
e	88623	4.2%
s	87894	4.2%
i	87792	4.2%
l	65037	3.1%
Other values (33)	640736	30.5%

City
Text

Distinct	145
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.3 MiB

Length

Max length	18
Median length	11
Mean length	7.587175
Min length	3

Characters and Unicode

Total characters	1517435
Distinct characters	48
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Thiruvananthapuram
2nd row	Nashik
3rd row	Bhagalpur
4th row	Chennai
5th row	Amritsar

Value	Count	Frequency (%)
chandigarh	8135	3.8%
kavaratti	5954	2.8%
delhi	5943	2.8%
udaipur	2681	1.3%
daman	2022	1.0%
car	1956	0.9%
nicobar	1956	0.9%
port	1950	0.9%
blair	1950	0.9%
diglipur	1926	0.9%
Other values (140)	178344	83.8%

Most occurring characters

Value	Count	Frequency (%)
a	287153	18.9%
r	130021	8.6%
i	107482	7.1%
h	86167	5.7%
u	77144	5.1%
n	73354	4.8%
o	62062	4.1%
l	61412	4.0%
g	54409	3.6%
t	49470	3.3%
Other values (38)	528761	34.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1517435	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	287153	18.9%
r	130021	8.6%
i	107482	7.1%
h	86167	5.7%
u	77144	5.1%
n	73354	4.8%
o	62062	4.1%
l	61412	4.0%
g	54409	3.6%
t	49470	3.3%
Other values (38)	528761	34.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1517435	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	287153	18.9%
r	130021	8.6%
i	107482	7.1%
h	86167	5.7%
u	77144	5.1%
n	73354	4.8%
o	62062	4.1%
l	61412	4.0%
g	54409	3.6%
t	49470	3.3%
Other values (38)	528761	34.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1517435	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	287153	18.9%
r	130021	8.6%
i	107482	7.1%
h	86167	5.7%
u	77144	5.1%
n	73354	4.8%
o	62062	4.1%
l	61412	4.0%
g	54409	3.6%
t	49470	3.3%
Other values (38)	528761	34.8%

Bank_Branch
Text

Distinct	145
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.7 MiB

Length

Max length	25
Median length	18
Mean length	14.587175
Min length	10

Characters and Unicode

Total characters	2917435
Distinct characters	48
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Thiruvananthapuram Branch
2nd row	Nashik Branch
3rd row	Bhagalpur Branch
4th row	Chennai Branch
5th row	Amritsar Branch

Value	Count	Frequency (%)
branch	200000	48.4%
chandigarh	8135	2.0%
kavaratti	5954	1.4%
delhi	5943	1.4%
udaipur	2681	0.6%
daman	2022	0.5%
car	1956	0.5%
nicobar	1956	0.5%
port	1950	0.5%
blair	1950	0.5%
Other values (141)	180270	43.7%

Most occurring characters

Value	Count	Frequency (%)
a	487153	16.7%
r	330021	11.3%
h	286167	9.8%
n	273354	9.4%
c	217565	7.5%
	212817	7.3%
B	212548	7.3%
i	107482	3.7%
u	77144	2.6%
o	62062	2.1%
Other values (38)	651122	22.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2917435	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	487153	16.7%
r	330021	11.3%
h	286167	9.8%
n	273354	9.4%
c	217565	7.5%
	212817	7.3%
B	212548	7.3%
i	107482	3.7%
u	77144	2.6%
o	62062	2.1%
Other values (38)	651122	22.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2917435	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	487153	16.7%
r	330021	11.3%
h	286167	9.8%
n	273354	9.4%
c	217565	7.5%
	212817	7.3%
B	212548	7.3%
i	107482	3.7%
u	77144	2.6%
o	62062	2.1%
Other values (38)	651122	22.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2917435	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	487153	16.7%
r	330021	11.3%
h	286167	9.8%
n	273354	9.4%
c	217565	7.5%
	212817	7.3%
B	212548	7.3%
i	107482	3.7%
u	77144	2.6%
o	62062	2.1%
Other values (38)	651122	22.3%

Account_Type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.3 MiB

Checking	66924
Savings	66593
Business	66483

Length

Max length	8
Median length	8
Mean length	7.667035
Min length	7

Characters and Unicode

Total characters	1533407
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Savings
2nd row	Business
3rd row	Savings
4th row	Business
5th row	Savings

Common Values

Value	Count	Frequency (%)
Checking	66924	33.5%
Savings	66593	33.3%
Business	66483	33.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
checking	66924	33.5%
savings	66593	33.3%
business	66483	33.2%

Most occurring characters

Value	Count	Frequency (%)
s	266042	17.3%
i	200000	13.0%
n	200000	13.0%
g	133517	8.7%
e	133407	8.7%
h	66924	4.4%
k	66924	4.4%
c	66924	4.4%
C	66924	4.4%
S	66593	4.3%
Other values (4)	266152	17.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1533407	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	266042	17.3%
i	200000	13.0%
n	200000	13.0%
g	133517	8.7%
e	133407	8.7%
h	66924	4.4%
k	66924	4.4%
c	66924	4.4%
C	66924	4.4%
S	66593	4.3%
Other values (4)	266152	17.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1533407	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	266042	17.3%
i	200000	13.0%
n	200000	13.0%
g	133517	8.7%
e	133407	8.7%
h	66924	4.4%
k	66924	4.4%
c	66924	4.4%
C	66924	4.4%
S	66593	4.3%
Other values (4)	266152	17.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1533407	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	266042	17.3%
i	200000	13.0%
n	200000	13.0%
g	133517	8.7%
e	133407	8.7%
h	66924	4.4%
k	66924	4.4%
c	66924	4.4%
C	66924	4.4%
S	66593	4.3%
Other values (4)	266152	17.4%

Transaction_ID
Text

Unique

Distinct	200000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	17.7 MiB

Length

Max length	36
Median length	36
Mean length	36
Min length	36

Characters and Unicode

Total characters	7200000
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	200000 ?
Unique (%)	100.0%

Sample

1st row	4fa3208f-9e23-42dc-b330-844829d0c12c
2nd row	c9de0c06-2c4c-40a9-97ed-3c7b8f97c79c
3rd row	e41c55f9-c016-4ff3-872b-cae72467c75c
4th row	7f7ee11b-ff2c-45a3-802a-49bc47c02ecb
5th row	f8e6ac6f-81a1-4985-bf12-f60967d852ef

Value	Count	Frequency (%)
d88174c9-3ace-434e-94ad-a5c1a1b0b863	1	< 0.1%
41b78ca1-8959-4704-902b-ef6b6f60707f	1	< 0.1%
2273196c-bdec-4b0e-9fdc-a910e84b81f3	1	< 0.1%
3a28ed02-f1d4-4060-862c-008dce3773c0	1	< 0.1%
8b673eef-249f-4d14-8bb3-ad9bcd5dbdc5	1	< 0.1%
e972a624-6563-47ae-ba25-c9dd22c1b2bd	1	< 0.1%
f6e59b3a-c129-47cf-a19d-10b5a96d90df	1	< 0.1%
c987c776-e480-46d5-94ac-8c3c28203527	1	< 0.1%
b1b7ea26-2165-43be-a804-6ae8d37f000d	1	< 0.1%
e4ecb6df-8054-4cca-9b46-b4390fc1ff28	1	< 0.1%
Other values (199990)	199990	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
-	800000	11.1%
4	575390	8.0%
a	425697	5.9%
8	425119	5.9%
9	424879	5.9%
b	424672	5.9%
6	375916	5.2%
d	375659	5.2%
2	375305	5.2%
1	375249	5.2%
Other values (7)	2622114	36.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7200000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	800000	11.1%
4	575390	8.0%
a	425697	5.9%
8	425119	5.9%
9	424879	5.9%
b	424672	5.9%
6	375916	5.2%
d	375659	5.2%
2	375305	5.2%
1	375249	5.2%
Other values (7)	2622114	36.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7200000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	800000	11.1%
4	575390	8.0%
a	425697	5.9%
8	425119	5.9%
9	424879	5.9%
b	424672	5.9%
6	375916	5.2%
d	375659	5.2%
2	375305	5.2%
1	375249	5.2%
Other values (7)	2622114	36.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7200000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	800000	11.1%
4	575390	8.0%
a	425697	5.9%
8	425119	5.9%
9	424879	5.9%
b	424672	5.9%
6	375916	5.2%
d	375659	5.2%
2	375305	5.2%
1	375249	5.2%
Other values (7)	2622114	36.4%

Transaction_Date
Date

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

Minimum	2025-01-01 00:00:00
Maximum	2025-12-01 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=31)

Transaction_Time
Date

Distinct	77856
Distinct (%)	38.9%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

Minimum	2025-06-20 00:00:00
Maximum	2025-06-20 23:59:59
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Transaction_Amount
Real number (ℝ)

Distinct	197978
Distinct (%)	99.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49538.016

Minimum	10.29
Maximum	98999.98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	10.29
5-th percentile	4982.469
Q1	24851.345
median	49502.44
Q3	74314.625
95-th percentile	93992.851
Maximum	98999.98
Range	98989.69
Interquartile range (IQR)	49463.28

Descriptive statistics

Standard deviation	28551.874
Coefficient of variation (CV)	0.57636289
Kurtosis	-1.1981949
Mean	49538.016
Median Absolute Deviation (MAD)	24736.87
Skewness	-0.00047189794
Sum	9.9076031 × 10⁹
Variance	8.1520951 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
23307.61	3	< 0.1%
3591.91	3	< 0.1%
19882.01	3	< 0.1%
78931.12	3	< 0.1%
7771.5	3	< 0.1%
80360.67	3	< 0.1%
48165.03	3	< 0.1%
41674.21	3	< 0.1%
60214.31	3	< 0.1%
56984.73	3	< 0.1%
Other values (197968)	199970	> 99.9%

Value	Count	Frequency (%)
10.29	1	< 0.1%
10.41	1	< 0.1%
10.52	1	< 0.1%
11.47	1	< 0.1%
12.61	1	< 0.1%
12.86	1	< 0.1%
14.43	1	< 0.1%
14.48	1	< 0.1%
15.11	1	< 0.1%
15.52	1	< 0.1%

Value	Count	Frequency (%)
98999.98	1	< 0.1%
98999.45	1	< 0.1%
98999.02	1	< 0.1%
98997.99	1	< 0.1%
98997.02	1	< 0.1%
98997.01	1	< 0.1%
98995.96	1	< 0.1%
98995.92	1	< 0.1%
98995.74	1	< 0.1%
98995.42	1	< 0.1%

Merchant_ID
Text

Unique

Distinct	200000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	17.7 MiB

Length

Max length	36
Median length	36
Mean length	36
Min length	36

Characters and Unicode

Total characters	7200000
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	200000 ?
Unique (%)	100.0%

Sample

1st row	214e03c5-5c34-40d1-a66c-f440aa2bbd02
2nd row	f9e3f11f-28d3-4199-b0ca-f225a155ede6
3rd row	97977d83-5486-4510-af1c-8dada3e1cfa0
4th row	f45cd6b3-5092-44d0-8afb-490894605184
5th row	70dd77dd-3b00-4b2c-8ebc-cfb8af5f6741

Value	Count	Frequency (%)
4fe49452-3ee0-4387-aeb9-8c034c5d3d96	1	< 0.1%
fe26eaae-9b0e-40d5-8a6f-032467de8439	1	< 0.1%
616a7236-f0a8-408c-8ac3-2bd5370ef721	1	< 0.1%
e18767fc-b843-422a-9bb0-ea57b98796a9	1	< 0.1%
49032c28-2d61-49bf-a7d7-4bccb4b68ea0	1	< 0.1%
3a15fead-ff6e-4b48-ad29-ad6044f8ba0a	1	< 0.1%
810c7e5c-23e7-435b-990e-0603f370c22b	1	< 0.1%
351bd768-876d-45df-acce-7c46414f1c93	1	< 0.1%
676f4516-c9c3-408a-8c68-e3bee3ccf309	1	< 0.1%
e8ffaed3-0bf3-4f82-af34-24e6129a0651	1	< 0.1%
Other values (199990)	199990	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
-	800000	11.1%
4	573909	8.0%
9	425368	5.9%
a	424987	5.9%
b	424654	5.9%
8	424387	5.9%
0	376502	5.2%
2	375892	5.2%
c	375759	5.2%
e	375103	5.2%
Other values (7)	2623439	36.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7200000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	800000	11.1%
4	573909	8.0%
9	425368	5.9%
a	424987	5.9%
b	424654	5.9%
8	424387	5.9%
0	376502	5.2%
2	375892	5.2%
c	375759	5.2%
e	375103	5.2%
Other values (7)	2623439	36.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7200000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	800000	11.1%
4	573909	8.0%
9	425368	5.9%
a	424987	5.9%
b	424654	5.9%
8	424387	5.9%
0	376502	5.2%
2	375892	5.2%
c	375759	5.2%
e	375103	5.2%
Other values (7)	2623439	36.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7200000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	800000	11.1%
4	573909	8.0%
9	425368	5.9%
a	424987	5.9%
b	424654	5.9%
8	424387	5.9%
0	376502	5.2%
2	375892	5.2%
c	375759	5.2%
e	375103	5.2%
Other values (7)	2623439	36.4%

Transaction_Type
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.4 MiB

Credit	40180
Debit	40050
Bill Payment	40040
Transfer	39953
Withdrawal	39777

Length

Max length	12
Median length	8
Mean length	8.19602
Min length	5

Characters and Unicode

Total characters	1639204
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Transfer
2nd row	Bill Payment
3rd row	Bill Payment
4th row	Debit
5th row	Transfer

Common Values

Value	Count	Frequency (%)
Credit	40180	20.1%
Debit	40050	20.0%
Bill Payment	40040	20.0%
Transfer	39953	20.0%
Withdrawal	39777	19.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
credit	40180	16.7%
debit	40050	16.7%
bill	40040	16.7%
payment	40040	16.7%
transfer	39953	16.6%
withdrawal	39777	16.6%

Most occurring characters

Value	Count	Frequency (%)
e	160223	9.8%
i	160047	9.8%
t	160047	9.8%
r	159863	9.8%
a	159547	9.7%
l	119857	7.3%
n	79993	4.9%
d	79957	4.9%
C	40180	2.5%
b	40050	2.4%
Other values (12)	479440	29.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1639204	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	160223	9.8%
i	160047	9.8%
t	160047	9.8%
r	159863	9.8%
a	159547	9.7%
l	119857	7.3%
n	79993	4.9%
d	79957	4.9%
C	40180	2.5%
b	40050	2.4%
Other values (12)	479440	29.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1639204	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	160223	9.8%
i	160047	9.8%
t	160047	9.8%
r	159863	9.8%
a	159547	9.7%
l	119857	7.3%
n	79993	4.9%
d	79957	4.9%
C	40180	2.5%
b	40050	2.4%
Other values (12)	479440	29.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1639204	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	160223	9.8%
i	160047	9.8%
t	160047	9.8%
r	159863	9.8%
a	159547	9.7%
l	119857	7.3%
n	79993	4.9%
d	79957	4.9%
C	40180	2.5%
b	40050	2.4%
Other values (12)	479440	29.2%

Merchant_Category
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.7 MiB

Restaurant	33525
Entertainment	33421
Electronics	33409
Clothing	33340
Groceries	33187

Length

Max length	13
Median length	10
Mean length	9.506665
Min length	6

Characters and Unicode

Total characters	1901333
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Restaurant
2nd row	Restaurant
3rd row	Groceries
4th row	Entertainment
5th row	Entertainment

Common Values

Value	Count	Frequency (%)
Restaurant	33525	16.8%
Entertainment	33421	16.7%
Electronics	33409	16.7%
Clothing	33340	16.7%
Groceries	33187	16.6%
Health	33118	16.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
restaurant	33525	16.8%
entertainment	33421	16.7%
electronics	33409	16.7%
clothing	33340	16.7%
groceries	33187	16.6%
health	33118	16.6%

Most occurring characters

Value	Count	Frequency (%)
t	267180	14.1%
e	233268	12.3%
n	200537	10.5%
r	166729	8.8%
a	133589	7.0%
i	133357	7.0%
s	100121	5.3%
c	100005	5.3%
o	99936	5.3%
l	99867	5.3%
Other values (9)	366744	19.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1901333	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	267180	14.1%
e	233268	12.3%
n	200537	10.5%
r	166729	8.8%
a	133589	7.0%
i	133357	7.0%
s	100121	5.3%
c	100005	5.3%
o	99936	5.3%
l	99867	5.3%
Other values (9)	366744	19.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1901333	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	267180	14.1%
e	233268	12.3%
n	200537	10.5%
r	166729	8.8%
a	133589	7.0%
i	133357	7.0%
s	100121	5.3%
c	100005	5.3%
o	99936	5.3%
l	99867	5.3%
Other values (9)	366744	19.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1901333	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	267180	14.1%
e	233268	12.3%
n	200537	10.5%
r	166729	8.8%
a	133589	7.0%
i	133357	7.0%
s	100121	5.3%
c	100005	5.3%
o	99936	5.3%
l	99867	5.3%
Other values (9)	366744	19.3%

Account_Balance
Real number (ℝ)

Distinct	197954
Distinct (%)	99.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52437.989

Minimum	5000.82
Maximum	99999.95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	5000.82
5-th percentile	9736.289
Q1	28742.395
median	52372.555
Q3	76147.67
95-th percentile	95230.17
Maximum	99999.95
Range	94999.13
Interquartile range (IQR)	47405.275

Descriptive statistics

Standard deviation	27399.507
Coefficient of variation (CV)	0.52251255
Kurtosis	-1.1976516
Mean	52437.989
Median Absolute Deviation (MAD)	23707.115
Skewness	0.0038724569
Sum	1.0487598 × 10¹⁰
Variance	7.5073299 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10338.39	3	< 0.1%
33235.53	3	< 0.1%
83952.51	3	< 0.1%
17176.18	3	< 0.1%
53785.6	3	< 0.1%
20817.66	3	< 0.1%
73149.62	3	< 0.1%
89413.76	3	< 0.1%
98929.64	3	< 0.1%
13998.58	3	< 0.1%
Other values (197944)	199970	> 99.9%

Value	Count	Frequency (%)
5000.82	1	< 0.1%
5000.93	1	< 0.1%
5001.08	1	< 0.1%
5001.12	1	< 0.1%
5002.27	1	< 0.1%
5002.71	1	< 0.1%
5003.41	1	< 0.1%
5003.42	1	< 0.1%
5003.5	1	< 0.1%
5003.68	1	< 0.1%

Value	Count	Frequency (%)
99999.95	1	< 0.1%
99998.68	1	< 0.1%
99997.65	1	< 0.1%
99997.64	1	< 0.1%
99997.28	1	< 0.1%
99996.44	1	< 0.1%
99996.03	1	< 0.1%
99995.54	1	< 0.1%
99995.49	1	< 0.1%
99995.21	1	< 0.1%

Transaction_Device
Categorical

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.6 MiB

Self-service Banking Machine	21707
ATM	21200
ATM Booth Kiosk	21149
Debit/Credit Card	8273
Smart Card	8133
Other values (15)	119538

Length

Max length	28
Median length	15
Mean length	14.377135
Min length	3

Characters and Unicode

Total characters	2875427
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Voice Assistant
2nd row	POS Mobile Device
3rd row	ATM
4th row	POS Mobile App
5th row	Virtual Card

Common Values

Value	Count	Frequency (%)
Self-service Banking Machine	21707	10.9%
ATM	21200	10.6%
ATM Booth Kiosk	21149	10.6%
Debit/Credit Card	8273	4.1%
Smart Card	8133	4.1%
Wearable Device	8128	4.1%
Virtual Card	8059	4.0%
Tablet	8059	4.0%
Desktop/Laptop	8057	4.0%
Voice Assistant	8039	4.0%
Other values (10)	79196	39.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
atm	42349	9.7%
device	31887	7.3%
banking	29702	6.8%
card	24465	5.6%
mobile	23753	5.4%
pos	23722	5.4%
self-service	21707	5.0%
machine	21707	5.0%
booth	21149	4.8%
kiosk	21149	4.8%
Other values (21)	175636	40.2%

Most occurring characters

Value	Count	Frequency (%)
e	302650	10.5%
	237226	8.3%
i	214340	7.5%
a	203542	7.1%
n	152362	5.3%
o	143219	5.0%
r	134272	4.7%
t	133828	4.7%
c	115037	4.0%
M	87809	3.1%
Other values (31)	1151142	40.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2875427	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	302650	10.5%
	237226	8.3%
i	214340	7.5%
a	203542	7.1%
n	152362	5.3%
o	143219	5.0%
r	134272	4.7%
t	133828	4.7%
c	115037	4.0%
M	87809	3.1%
Other values (31)	1151142	40.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2875427	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	302650	10.5%
	237226	8.3%
i	214340	7.5%
a	203542	7.1%
n	152362	5.3%
o	143219	5.0%
r	134272	4.7%
t	133828	4.7%
c	115037	4.0%
M	87809	3.1%
Other values (31)	1151142	40.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2875427	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	302650	10.5%
	237226	8.3%
i	214340	7.5%
a	203542	7.1%
n	152362	5.3%
o	143219	5.0%
r	134272	4.7%
t	133828	4.7%
c	115037	4.0%
M	87809	3.1%
Other values (31)	1151142	40.0%

Transaction_Location
Text

Distinct	148
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	14.7 MiB

Length

Max length	50
Median length	39
Mean length	20.07874
Min length	11

Characters and Unicode

Total characters	4015748
Distinct characters	50
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Thiruvananthapuram, Kerala
2nd row	Nashik, Maharashtra
3rd row	Bhagalpur, Bihar
4th row	Chennai, Tamil Nadu
5th row	Amritsar, Punjab

Value	Count	Frequency (%)
pradesh	29497	5.8%
and	23403	4.6%
chandigarh	13932	2.7%
delhi	11886	2.3%
daman	7879	1.5%
nicobar	7788	1.5%
diu	7776	1.5%
puducherry	7232	1.4%
west	7043	1.4%
nagaland	6031	1.2%
Other values (177)	390034	76.1%

Most occurring characters

Value	Count	Frequency (%)
a	740094	18.4%
	312501	7.8%
r	294392	7.3%
h	238835	5.9%
n	202566	5.0%
,	200000	5.0%
i	195274	4.9%
d	171813	4.3%
e	130970	3.3%
u	129968	3.2%
Other values (40)	1399335	34.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4015748	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	740094	18.4%
	312501	7.8%
r	294392	7.3%
h	238835	5.9%
n	202566	5.0%
,	200000	5.0%
i	195274	4.9%
d	171813	4.3%
e	130970	3.3%
u	129968	3.2%
Other values (40)	1399335	34.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4015748	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	740094	18.4%
	312501	7.8%
r	294392	7.3%
h	238835	5.9%
n	202566	5.0%
,	200000	5.0%
i	195274	4.9%
d	171813	4.3%
e	130970	3.3%
u	129968	3.2%
Other values (40)	1399335	34.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4015748	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	740094	18.4%
	312501	7.8%
r	294392	7.3%
h	238835	5.9%
n	202566	5.0%
,	200000	5.0%
i	195274	4.9%
d	171813	4.3%
e	130970	3.3%
u	129968	3.2%
Other values (40)	1399335	34.8%

Device_Type
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.8 MiB

POS	50111
ATM	50055
Mobile	49962
Desktop	49872

Length

Max length	7
Median length	3
Mean length	4.74687
Min length	3

Characters and Unicode

Total characters	949374
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	POS
2nd row	Desktop
3rd row	Desktop
4th row	Mobile
5th row	Mobile

Common Values

Value	Count	Frequency (%)
POS	50111	25.1%
ATM	50055	25.0%
Mobile	49962	25.0%
Desktop	49872	24.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
pos	50111	25.1%
atm	50055	25.0%
mobile	49962	25.0%
desktop	49872	24.9%

Most occurring characters

Value	Count	Frequency (%)
M	100017	10.5%
o	99834	10.5%
e	99834	10.5%
P	50111	5.3%
S	50111	5.3%
O	50111	5.3%
T	50055	5.3%
A	50055	5.3%
b	49962	5.3%
i	49962	5.3%
Other values (6)	299322	31.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	949374	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
M	100017	10.5%
o	99834	10.5%
e	99834	10.5%
P	50111	5.3%
S	50111	5.3%
O	50111	5.3%
T	50055	5.3%
A	50055	5.3%
b	49962	5.3%
i	49962	5.3%
Other values (6)	299322	31.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	949374	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
M	100017	10.5%
o	99834	10.5%
e	99834	10.5%
P	50111	5.3%
S	50111	5.3%
O	50111	5.3%
T	50055	5.3%
A	50055	5.3%
b	49962	5.3%
i	49962	5.3%
Other values (6)	299322	31.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	949374	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
M	100017	10.5%
o	99834	10.5%
e	99834	10.5%
P	50111	5.3%
S	50111	5.3%
O	50111	5.3%
T	50055	5.3%
A	50055	5.3%
b	49962	5.3%
i	49962	5.3%
Other values (6)	299322	31.5%

Is_Fraud
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.1 MiB

0	189912
1	10088

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	200000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	189912	95.0%
1	10088	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	189912	95.0%
1	10088	5.0%

Most occurring characters

Value	Count	Frequency (%)
0	189912	95.0%
1	10088	5.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	200000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	189912	95.0%
1	10088	5.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	200000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	189912	95.0%
1	10088	5.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	200000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	189912	95.0%
1	10088	5.0%

Transaction_Currency
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.4 MiB

INR	200000

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	600000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	INR
2nd row	INR
3rd row	INR
4th row	INR
5th row	INR

Common Values

Value	Count	Frequency (%)
INR	200000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
inr	200000	100.0%

Most occurring characters

Value	Count	Frequency (%)
I	200000	33.3%
N	200000	33.3%
R	200000	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	600000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
I	200000	33.3%
N	200000	33.3%
R	200000	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	600000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
I	200000	33.3%
N	200000	33.3%
R	200000	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	600000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
I	200000	33.3%
N	200000	33.3%
R	200000	33.3%

Customer_Contact
Text

Distinct	9000
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Memory size	13.5 MiB

Length

Max length	14
Median length	14
Mean length	14
Min length	14

Characters and Unicode

Total characters	2800000
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	+9198579XXXXXX
2nd row	+9191074XXXXXX
3rd row	+9197745XXXXXX
4th row	+9195889XXXXXX
5th row	+9195316XXXXXX

Value	Count	Frequency (%)
9191471xxxxxx	41	< 0.1%
9191943xxxxxx	40	< 0.1%
9197078xxxxxx	39	< 0.1%
9198593xxxxxx	39	< 0.1%
9194008xxxxxx	39	< 0.1%
9194655xxxxxx	38	< 0.1%
9196811xxxxxx	38	< 0.1%
9199538xxxxxx	38	< 0.1%
9199576xxxxxx	37	< 0.1%
9198622xxxxxx	37	< 0.1%
Other values (8990)	199614	99.8%

Most occurring characters

Value	Count	Frequency (%)
X	1200000	42.9%
9	482579	17.2%
1	282399	10.1%
+	200000	7.1%
5	82648	3.0%
7	82440	2.9%
2	82357	2.9%
6	82153	2.9%
3	81881	2.9%
8	81861	2.9%
Other values (2)	141682	5.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2800000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
X	1200000	42.9%
9	482579	17.2%
1	282399	10.1%
+	200000	7.1%
5	82648	3.0%
7	82440	2.9%
2	82357	2.9%
6	82153	2.9%
3	81881	2.9%
8	81861	2.9%
Other values (2)	141682	5.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2800000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
X	1200000	42.9%
9	482579	17.2%
1	282399	10.1%
+	200000	7.1%
5	82648	3.0%
7	82440	2.9%
2	82357	2.9%
6	82153	2.9%
3	81881	2.9%
8	81861	2.9%
Other values (2)	141682	5.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2800000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
X	1200000	42.9%
9	482579	17.2%
1	282399	10.1%
+	200000	7.1%
5	82648	3.0%
7	82440	2.9%
2	82357	2.9%
6	82153	2.9%
3	81881	2.9%
8	81861	2.9%
Other values (2)	141682	5.1%

Transaction_Description
Text

Distinct	172
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	14.3 MiB

Length

Max length	30
Median length	23
Mean length	17.161245
Min length	8

Characters and Unicode

Total characters	3432249
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bitcoin transaction
2nd row	Grocery delivery
3rd row	Mutual fund investment
4th row	Food delivery
5th row	Debt repayment

Value	Count	Frequency (%)
payment	30251	6.5%
purchase	25725	5.6%
online	11497	2.5%
subscription	11468	2.5%
fee	10406	2.2%
service	10386	2.2%
shopping	9336	2.0%
home	7015	1.5%
gift	7006	1.5%
ticket	5867	1.3%
Other values (199)	333855	72.1%

Most occurring characters

Value	Count	Frequency (%)
e	368338	10.7%
n	265521	7.7%
	262812	7.7%
r	247707	7.2%
i	244217	7.1%
t	238930	7.0%
a	234004	6.8%
s	175747	5.1%
o	168746	4.9%
c	148770	4.3%
Other values (39)	1077457	31.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3432249	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	368338	10.7%
n	265521	7.7%
	262812	7.7%
r	247707	7.2%
i	244217	7.1%
t	238930	7.0%
a	234004	6.8%
s	175747	5.1%
o	168746	4.9%
c	148770	4.3%
Other values (39)	1077457	31.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3432249	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	368338	10.7%
n	265521	7.7%
	262812	7.7%
r	247707	7.2%
i	244217	7.1%
t	238930	7.0%
a	234004	6.8%
s	175747	5.1%
o	168746	4.9%
c	148770	4.3%
Other values (39)	1077457	31.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3432249	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	368338	10.7%
n	265521	7.7%
	262812	7.7%
r	247707	7.2%
i	244217	7.1%
t	238930	7.0%
a	234004	6.8%
s	175747	5.1%
o	168746	4.9%
c	148770	4.3%
Other values (39)	1077457	31.4%

Customer_Email
Text

Distinct	4779
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Memory size	14.9 MiB

Length

Max length	28
Median length	26
Mean length	20.923715
Min length	15

Characters and Unicode

Total characters	4184743
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	oshaXXXXX@XXXXX.com
2nd row	hredhaanXXXX@XXXXXX.com
3rd row	ekaniXXX@XXXXXX.com
4th row	yaminiXXXXX@XXXXXXX.com
5th row	kritikaXXXX@XXXXXX.com

Value	Count	Frequency (%)
krishnaxxx@xxxxx.com	99	< 0.1%
saixxxxx@xxxxxx.com	95	< 0.1%
saixxxxx@xxxxxxx.com	93	< 0.1%
saixxx@xxxxxx.com	92	< 0.1%
saixxxx@xxxxxxx.com	92	< 0.1%
saixxxx@xxxxxx.com	92	< 0.1%
krishnaxxxx@xxxxxxx.com	91	< 0.1%
krishnaxxxx@xxxxx.com	88	< 0.1%
saixxxxx@xxxxx.com	80	< 0.1%
saixxx@xxxxx.com	79	< 0.1%
Other values (4769)	199099	99.5%

Most occurring characters

Value	Count	Frequency (%)
X	1999767	47.8%
a	270349	6.5%
m	235269	5.6%
o	221263	5.3%
c	219224	5.2%
.	200000	4.8%
@	200000	4.8%
i	128668	3.1%
h	90677	2.2%
n	87176	2.1%
Other values (19)	532350	12.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4184743	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
X	1999767	47.8%
a	270349	6.5%
m	235269	5.6%
o	221263	5.3%
c	219224	5.2%
.	200000	4.8%
@	200000	4.8%
i	128668	3.1%
h	90677	2.2%
n	87176	2.1%
Other values (19)	532350	12.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4184743	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
X	1999767	47.8%
a	270349	6.5%
m	235269	5.6%
o	221263	5.3%
c	219224	5.2%
.	200000	4.8%
@	200000	4.8%
i	128668	3.1%
h	90677	2.2%
n	87176	2.1%
Other values (19)	532350	12.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4184743	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
X	1999767	47.8%
a	270349	6.5%
m	235269	5.6%
o	221263	5.3%
c	219224	5.2%
.	200000	4.8%
@	200000	4.8%
i	128668	3.1%
h	90677	2.2%
n	87176	2.1%
Other values (19)	532350	12.7%

Interactions

Correlations

	Account_Balance	Account_Type	Age	Device_Type	Gender	Is_Fraud	Merchant_Category	State	Transaction_Amount	Transaction_Device	Transaction_Type
Account_Balance	1.000	0.000	0.000	0.000	0.000	0.005	0.003	0.000	-0.002	0.000	0.004
Account_Type	0.000	1.000	0.000	0.002	0.000	0.003	0.000	0.000	0.000	0.002	0.000
Age	0.000	0.000	1.000	0.001	0.000	0.000	0.000	0.000	-0.003	0.000	0.000
Device_Type	0.000	0.002	0.001	1.000	0.000	0.000	0.000	0.006	0.005	0.003	0.002
Gender	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.004	0.000	0.000	0.004
Is_Fraud	0.005	0.003	0.000	0.000	0.000	1.000	0.003	0.000	0.003	0.001	0.001
Merchant_Category	0.003	0.000	0.000	0.000	0.000	0.003	1.000	0.000	0.000	0.004	0.001
State	0.000	0.000	0.000	0.006	0.004	0.000	0.000	1.000	0.000	0.001	0.000
Transaction_Amount	-0.002	0.000	-0.003	0.005	0.000	0.003	0.000	0.000	1.000	0.004	0.002
Transaction_Device	0.000	0.002	0.000	0.003	0.000	0.001	0.004	0.001	0.004	1.000	0.363
Transaction_Type	0.004	0.000	0.000	0.002	0.004	0.001	0.001	0.000	0.002	0.363	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	Customer_ID	Customer_Name	Gender	Age	State	City	Bank_Branch	Account_Type	Transaction_ID	Transaction_Date	Transaction_Time	Transaction_Amount	Merchant_ID	Transaction_Type	Merchant_Category	Account_Balance	Transaction_Device	Transaction_Location	Device_Type	Transaction_Currency	Customer_Contact	Transaction_Description	Customer_Email
0	d5f6ec07-d69e-4f47-b9b4-7c58ff17c19e	Osha Tella	Male	60	Kerala	Thiruvananthapuram	Thiruvananthapuram Branch	Savings	4fa3208f-9e23-42dc-b330-844829d0c12c	23-01-2025	16:04:07	32415.45	214e03c5-5c34-40d1-a66c-f440aa2bbd02	Transfer	Restaurant	74557.27	Voice Assistant	Thiruvananthapuram, Kerala	POS	INR	+9198579XXXXXX	Bitcoin transaction	oshaXXXXX@XXXXX.com
1	7c14ad51-781a-4db9-b7bd-67439c175262	Hredhaan Khosla	Female	51	Maharashtra	Nashik	Nashik Branch	Business	c9de0c06-2c4c-40a9-97ed-3c7b8f97c79c	11-01-2025	17:14:53	43622.60	f9e3f11f-28d3-4199-b0ca-f225a155ede6	Bill Payment	Restaurant	74622.66	POS Mobile Device	Nashik, Maharashtra	Desktop	INR	+9191074XXXXXX	Grocery delivery	hredhaanXXXX@XXXXXX.com
2	3a73a0e5-d4da-45aa-85f3-528413900a35	Ekani Nazareth	Male	20	Bihar	Bhagalpur	Bhagalpur Branch	Savings	e41c55f9-c016-4ff3-872b-cae72467c75c	25-01-2025	03:09:52	63062.56	97977d83-5486-4510-af1c-8dada3e1cfa0	Bill Payment	Groceries	66817.99	ATM	Bhagalpur, Bihar	Desktop	INR	+9197745XXXXXX	Mutual fund investment	ekaniXXX@XXXXXX.com
3	7902f4ef-9050-4a79-857d-9c2ea3181940	Yamini Ramachandran	Female	57	Tamil Nadu	Chennai	Chennai Branch	Business	7f7ee11b-ff2c-45a3-802a-49bc47c02ecb	19-01-2025	12:27:02	14000.72	f45cd6b3-5092-44d0-8afb-490894605184	Debit	Entertainment	58177.08	POS Mobile App	Chennai, Tamil Nadu	Mobile	INR	+9195889XXXXXX	Food delivery	yaminiXXXXX@XXXXXXX.com
4	3a4bba70-d9a9-4c5f-8b92-1735fd8c19e9	Kritika Rege	Female	43	Punjab	Amritsar	Amritsar Branch	Savings	f8e6ac6f-81a1-4985-bf12-f60967d852ef	30-01-2025	18:30:46	18335.16	70dd77dd-3b00-4b2c-8ebc-cfb8af5f6741	Transfer	Entertainment	16108.56	Virtual Card	Amritsar, Punjab	Mobile	INR	+9195316XXXXXX	Debt repayment	kritikaXXXX@XXXXXX.com
5	6c870d65-76b0-431d-bdf3-9292998e8211	Ishanvi Dar	Male	54	Gujarat	Ahmedabad	Ahmedabad Branch	Checking	af5f667c-d064-4083-bfb7-83396111a3da	25-01-2025	06:49:53	9711.15	d82a798d-7b4d-4609-a687-8f6b5fc58fe7	Transfer	Entertainment	61258.85	Mobile Device	Ahmedabad, Gujarat	POS	INR	+9198318XXXXXX	Seminar registration	ishanviXXX@XXXXX.com
6	5323737c-bbd2-423f-9c9b-e0433c8f75dc	Arya Shroff	Female	61	Delhi	New Delhi	New Delhi Branch	Business	b1355810-d246-4aeb-9932-347f32646172	04-01-2025	00:53:33	94677.01	e0b802ba-b1d9-4e94-9a88-6fbb6066b4e0	Transfer	Health	36313.61	Payment Gateway Device	New Delhi, Delhi	Desktop	INR	+9194785XXXXXX	Public transport pass	aryaXXX@XXXXX.com
7	c0c3d474-f6c2-4c66-9b0e-f9ba75c6f310	Jackson Shere	Male	32	Andaman and Nicobar Islands	Port Blair	Port Blair Branch	Business	c86a000c-d81f-40be-acdf-77fc072fd808	16-01-2025	04:04:48	67704.28	ec344461-1bab-4e85-a1cb-05061e9149bc	Debit	Clothing	16948.73	Debit/Credit Card	Port Blair, Andaman and Nicobar Islands	ATM	INR	+9193423XXXXXX	Online shopping	jacksonXXX@XXXXXXX.com
8	e9a82764-1253-4a46-ad34-80e3416fc801	Bhanumati Ravel	Male	52	Madhya Pradesh	Bhopal	Bhopal Branch	Business	323cc683-b0dc-40ee-a519-3b5dc96c7ed8	25-01-2025	10:50:12	72953.45	1de36b2e-e1a9-4e29-b8f8-8693919f0bb1	Withdrawal	Clothing	18138.71	ATM	Bhopal, Madhya Pradesh	Mobile	INR	+9194374XXXXXX	Vacation payment	bhanumatiXXXXX@XXXXX.com
9	708224d5-192a-4d86-b411-8ec6d1bb274b	Meera Ganesh	Female	32	Chhattisgarh	Jagdalpur	Jagdalpur Branch	Business	9fad31ea-2770-4d80-a0ea-00972d5f02cc	02-01-2025	04:37:34	5689.02	20ffaa8f-958b-4848-b2e4-f62a3fda9bc1	Credit	Entertainment	65801.35	Bank Branch	Jagdalpur, Chhattisgarh	Desktop	INR	+9194511XXXXXX	Electronics purchase	meeraXXXXX@XXXXXXX.com

	Customer_ID	Customer_Name	Gender	Age	State	City	Bank_Branch	Account_Type	Transaction_ID	Transaction_Date	Transaction_Time	Transaction_Amount	Merchant_ID	Transaction_Type	Merchant_Category	Account_Balance	Transaction_Device	Transaction_Location	Device_Type	Transaction_Currency	Customer_Contact	Transaction_Description	Customer_Email
199990	602e081e-789f-4438-b392-f883763f2878	Bhavya Prabhu	Female	64	Andhra Pradesh	Vijayawada	Vijayawada Branch	Checking	f6e59b3a-c129-47cf-a19d-10b5a96d90df	17-01-2025	08:08:32	86350.15	810c7e5c-23e7-435b-990e-0603f370c22b	Bill Payment	Electronics	13673.68	Voice Assistant	Vijayawada, Andhra Pradesh	Mobile	INR	+9198868XXXXXX	Cryptocurrency purchase	bhavyaXXXXX@XXXXX.com
199991	f1116e1e-7e9e-4d79-8680-443362cddf02	Vivaan Keer	Male	46	Assam	Nagaon	Nagaon Branch	Checking	c987c776-e480-46d5-94ac-8c3c28203527	18-01-2025	13:28:56	82034.24	351bd768-876d-45df-acce-7c46414f1c93	Debit	Electronics	15367.42	POS Terminal	Nagaon, Assam	ATM	INR	+9192194XXXXXX	Online software purchase	vivaanXXX@XXXXX.com
199992	e4f07df0-07e4-4f1a-a6be-0e8cd8fdbf03	Ayush Sachdev	Male	55	Madhya Pradesh	Indore	Indore Branch	Business	b1b7ea26-2165-43be-a804-6ae8d37f000d	17-01-2025	13:13:06	30508.30	676f4516-c9c3-408a-8c68-e3bee3ccf309	Transfer	Groceries	57713.49	Self-service Banking Machine	Indore, Madhya Pradesh	Desktop	INR	+9193108XXXXXX	Credit card payment	ayushXXXXX@XXXXX.com
199993	970f2cee-92cb-4416-9cfe-1544cf0a56b4	Aahana Mohan	Female	21	Rajasthan	Jaipur	Jaipur Branch	Savings	e4ecb6df-8054-4cca-9b46-b4390fc1ff28	28-01-2025	22:45:03	48301.18	e8ffaed3-0bf3-4f82-af34-24e6129a0651	Withdrawal	Restaurant	19935.50	ATM	Jaipur, Rajasthan	ATM	INR	+9194394XXXXXX	Movie tickets	aahanaXXXX@XXXXXXX.com
199994	95a2104c-8634-4f21-9ce2-6caef57037d6	William Bala	Male	56	Dadra and Nagar Haveli and Daman and Diu	Silvassa	Silvassa Branch	Checking	6215e64f-5b2c-41ca-8f0c-d7c2cea8e4fd	24-01-2025	06:16:48	96247.88	cc24468f-0c91-46aa-b6c9-b6f3fb1cf66c	Transfer	Health	34423.94	Smart Card	Silvassa, Dadra and Nagar Haveli and Daman and Diu	POS	INR	+9198166XXXXXX	Membership subscription	williamXXXXX@XXXXXX.com
199995	b8bdae19-296f-48b7-9104-e055d33a09ac	Vedhika Magar	Female	55	Dadra and Nagar Haveli and Daman and Diu	Diu	Diu Branch	Business	8d856bc7-4666-4509-a067-48d67500694a	08-01-2025	18:42:09	98513.74	72817d4a-830b-4d16-bf74-244dccfe4cc4	Credit	Restaurant	37475.11	Desktop/Laptop	Diu, Dadra and Nagar Haveli and Daman and Diu	ATM	INR	+9192629XXXXXX	ATM withdrawal	vedhikaXXXXX@XXXXXXX.com
199996	635bc099-8a93-48ee-829a-bf2283fe8fda	Aashi Pai	Male	51	Manipur	Kangpokpi	Kangpokpi Branch	Business	f2890dbd-4e01-445d-97f5-ac56886e9037	01-01-2025	20:51:21	40593.55	087718f9-1faa-44ef-b162-24d20ddc903c	Withdrawal	Groceries	53037.20	ATM	Kangpokpi, Manipur	ATM	INR	+9198116XXXXXX	Subscription box	aashiXXX@XXXXXX.com
199997	c1b31cc2-0905-47e8-8cc5-6461d1f3ba33	Dayita Shan	Female	41	Chandigarh	Chandigarh	Chandigarh Branch	Savings	f714b758-7539-474d-b676-5fa7e2480141	28-01-2025	10:47:40	61579.70	a313cfbc-ef3d-4e59-8347-a948ac292a6f	Withdrawal	Health	96225.36	ATM	Chandigarh, Chandigarh	Desktop	INR	+9192601XXXXXX	Charity donation	dayitaXXXX@XXXXXXX.com
199998	32bb8e66-f3fa-43bf-8242-dab9a6116310	Unnati Vyas	Female	28	Telangana	Nizamabad	Nizamabad Branch	Checking	f6903b6a-b582-47ea-95d5-aff16bdec950	08-01-2025	06:26:41	39488.22	08ef8813-dea0-42bf-9df5-0a63fe07673d	Debit	Electronics	89599.90	Voice Assistant	Nizamabad, Telangana	Desktop	INR	+9197537XXXXXX	Tourist attraction payment	unnatiXXX@XXXXX.com
199999	f3dd92ef-b17a-45d2-b6cb-fdbee20843fe	Gopal Rout	Male	34	Nagaland	Kohima	Kohima Branch	Business	b44b6e8a-1036-4ec1-b492-5e7ffc7baf6d	08-01-2025	15:26:19	58622.49	e0d4aa67-43c0-4aed-836b-698cfaf2df41	Debit	Electronics	15066.24	Virtual Card	Kohima, Nagaland	Mobile	INR	+9193961XXXXXX	Installment payment	gopalXXXXX@XXXXXXX.com

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)